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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 208
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    phrases emphasizing the importance of information or features within a discussion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    TryParse
    -0.65
    Diwedd
    -0.65
    ViewImports
    -0.65
    ыгана
    -0.63
    ymce
    -0.63
    Aye
    -0.62
    SPATH
    -0.62
    OGND
    -0.60
    consulté
    -0.59
     resourceCulture
    -0.59
    POSITIVE LOGITS
     importantly
    0.99
     Importantly
    0.72
    何より
    0.67
    重要的是
    0.65
     soprattutto
    0.58
     Inoltre
    0.58
     surtout
    0.57
     главное
    0.57
    Inoltre
    0.56
    nocześnie
    0.53
    Activations Density 0.169%

    No Known Activations